Functions solving Chapman-Kolmogorov

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The discussion centers on the Chapman-Kolmogorov equation and its solutions, particularly focusing on a specific function that satisfies the equation related to Brownian motion. The user seeks to identify whether other functions can also fulfill this requirement, expressing uncertainty about the generality of a solution found in an external resource. It is noted that various transition densities for Markov processes are likely to meet the Chapman-Kolmogorov criteria. Additionally, examples such as the Ornstein-Uhlenbeck process are mentioned as satisfying the equation. The conversation emphasizes the need for further exploration of potential solutions beyond the initial function presented.
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How many functions solve the Chapman-Kolmogorov equation? The Chapman-Kolmogorov equation is defined as:

f({x_n}|{x_m}) = \int_{ - \infty }^{ + \infty } {f({x_n}|{x_o})} f({x_o}|{x_m})d{x_o}

And I've seen it proved that the following function will satisfy the above condition:

f({x_n}|{x_o}) = {\left( {\frac{\lambda }{{2\pi ({t_n} - {t_0})}}} \right)^{{\raise0.5ex\hbox{$\scriptstyle 1$}<br /> \kern-0.1em/\kern-0.15em<br /> \lower0.25ex\hbox{$\scriptstyle 2$}}}}{e^{\frac{{\lambda {{({x_n} - {x_0})}^2}}}{{2({t_n} - {t_0})}}}}

But I have to wonder if there are any other functions that satisfy it. Any help is appreciated.
 
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friend said:
How many functions solve the Chapman-Kolmogorov equation? The Chapman-Kolmogorov equation is defined as:

f({x_n}|{x_m}) = \int_{ - \infty }^{ + \infty } {f({x_n}|{x_o})} f({x_o}|{x_m})d{x_o}

And I've seen it proved that the following function will satisfy the above condition:

f({x_n}|{x_o}) = {\left( {\frac{\lambda }{{2\pi ({t_n} - {t_0})}}} \right)^{{\raise0.5ex\hbox{$\scriptstyle 1$}<br /> \kern-0.1em/\kern-0.15em<br /> \lower0.25ex\hbox{$\scriptstyle 2$}}}}{e^{\frac{{\lambda {{({x_n} - {x_0})}^2}}}{{2({t_n} - {t_0})}}}}

But I have to wonder if there are any other functions that satisfy it. Any help is appreciated.

I did find this solution to the Chapman-Kolmogorov equation:

http://www.pims.math.ca/files/monahan_2b_0.pdf

Although, I could not find any reference to the author. And I don 't know how general or particular his solution is. Maybe a more experienced person would like to take a look at it and advice. Thanks.
 
I don't really know all that much about DE's (ODE's or PDE's) but that equation for joint probabilities looks pretty accurate.
 
I believe just about any transition density for a markovian process should satisfy the C-K equation.
The solution listed above was for a "raw" brownian motion. You can see that any arithmetic or geometric process will result in a similar process. The post above had a link to show that an Ornstein-Uhlenbeck (Langevin) process can satisfy it.
 
The standard _A " operator" maps a Null Hypothesis Ho into a decision set { Do not reject:=1 and reject :=0}. In this sense ( HA)_A , makes no sense. Since H0, HA aren't exhaustive, can we find an alternative operator, _A' , so that ( H_A)_A' makes sense? Isn't Pearson Neyman related to this? Hope I'm making sense. Edit: I was motivated by a superficial similarity of the idea with double transposition of matrices M, with ## (M^{T})^{T}=M##, and just wanted to see if it made sense to talk...

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